Small area estimators based on restricted mixed models

DOI10.1007/s11749-010-0186-2zbMath1203.62020OpenAlexW2095442623MaRDI QIDQ619137

Cristina Rueda, Federico Gómez, José A. Menéndez

Publication date: 22 January 2011

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-010-0186-2

zbMATH Keywords

James-Stein estimatororder restricted inferencemixed modelsFay-Herriot modelEBLUP estimatorsmall areas

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Nonparametric estimation (62G05) Point estimation (62F10) Parametric inference under constraints (62F30)

Related Items (4)

Constrained Bayes estimation in small area models with functional measurement error ⋮ Selection model for domains across time: application to labour force survey by economic activities ⋮ Degrees of freedom and model selection in semiparametric additive monotone regression ⋮ Small area semiparametric additive monotone models

Cites Work

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• Benchmarked estimates in small areas using linear mixed models with restrictions
• Parametric bootstrap approximation to the distribution of EBLUP and related prediction intervals in linear mixed models
• Spline smoothing in small area trend estimation and forecasting
• On estimation and testing arising from order restricted balanced mixed model
• On Parametric Bootstrap Methods for Small Area Prediction
• Bootstrap mean squared error of a small-area EBLUP
• Non-Parametric Small Area Estimation Using Penalized Spline Regression
• Data Analysis Using Stein's Estimator and its Generalizations
• Additive isotone regression
• M-quantile models for small area estimation

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